pyfacerecall
Installation
pip install pyfacerecall
Generate own face dataset using camera
You can use cli built-in cli tool to generate dataset of your own face using your camera.
python -m pyfacerecall --output person --source 0
How to use?
from pyfacerecall import FaceRecognition
if __name__ == '__main__':
model_path = "model"
image_path = 'test.jpeg'
# if you already have model trained then no need to provide dataset path while initializing class like below
# face_recognition = FaceRecognition(number_of_classes=2)
face_recognition = FaceRecognition("./dataset/training", "./dataset/testing")
face_recognition.training()
face_recognition.save_model(model_path)
# get the model and do something with that
model = face_recognition.load_saved_model(model_path)
# get the model prediction
k, result = face_recognition.model_prediction(image_path, model_path, need_cropping=False)
print(f"detected class is {k} and prediction percentage is {result}")
Metadata
Release files for pyfacerecall 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyfacerecall-1.0.0.tar.gz | 6.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyfacerecall-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.0 kB
Release files / pyfacerecall-1.0.0.tar.gz
| Download URL | pyfacerecall-1.0.0.tar.gz |
|---|---|
| Size | 6.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.8.13
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Release files / pyfacerecall-1.0.0-py3-none-any.whl
| Download URL | pyfacerecall-1.0.0-py3-none-any.whl |
|---|---|
| Size | 7.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.13
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